Senior Quantitative Analyst Gas and LNG Markets, ICIS (Hybrid)
About the Role
You will be involved in producing and communicating analysis to serve customers in the global energy industry. You will develop and maintain predictive analytic models designed to help customers navigate the conditions in the dynamic natural gas & LNG markets.
We are looking for a highly experienced modeller who has a proven track record of successfully maintaining and developing complex modelling in a Python-coded environment.
We work in a dynamic, project-oriented setting, which allows space for innovation and guarantees a high individual responsibility and project ownership.
As part of your role, you will be developing and running innovative analysis approaches and models. Combining data and latest forecasting technology is the basis for our competitor advantage.
You will be tasked with stretching analytics projects and be in contact with customers and prospects across the global energy landscape.
You will develop team leadership skills as part of an international and diverse team, which requires occasional travel within the EU and potentially inter-continental.
Responsibilities
- Leading the development and maintenance of all our natural gas & LNG models (fundamental, regression, neural networks and multi-stage optimisation models)
- Structuring, coordinate and integrate the quantitative analysis on natural gas & LNG markets across the company
- Anticipating improvement of our products and services around data-driven, quantitative energy market models to predict market variables
- Creating and learn new techniques and apply to existing problems
- Explaining our analysis to clients and other market participants
Requirements
- Experience substantial professional in the natural gas & LNG sector, especially in market forecasting and optimisation models
- Possess understanding of our customers in energy trading and investment and natural gas & LNG markets
- Able to communicate clearly, empathic and concisely with a wide range of people at different levels
- Deliver programming skills in Python; SQL and database systems knowledge. Expertise in optimisation model systems like GAMS;
- experience with versioning systems like Git;
- Experience and affinity to energy markets, optimisation problems and econometric modelling
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